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Nov. 19, 2024, 4:34 a.m.
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AI Training on OpenSubtitles: Ethical and Legal Challenges

The Atlantic's investigation into the OpenSubtitles data set reveals that many generative AI systems have been trained using TV and film scripts, including those of over 53, 000 movies and 85, 000 TV episodes. These systems have been developed by major companies such as Apple, Meta, Nvidia, and Salesforce, leveraging a data set that includes dialogue from films and shows like "The Godfather, " "The Simpsons, " and "Breaking Bad. " The data, sourced from OpenSubtitles. org, consists of subtitle files extracted and uploaded by users. This method provides a rich source of dialogue, essential for training AI to mimic natural speech. Various AI models, such as Claude by Anthropic and Apple's iPhone-compatible LLMs, have been trained on this data. However, these developments have sparked concerns among Hollywood writers and artists, who worry about their work being used without permission.

Legal challenges regarding the use of copyrighted material in AI training are ongoing, and transparency from tech companies remains limited. While some creators like Jörg Tiedemann, an originator of the OpenSubtitles data set, are pleased with its broader use, others view it as an infringement on intellectual property. The OpenSubtitles data set is part of a larger collection called The Pile, which includes diverse texts and is widely used by AI developers. Despite its availability, its content is complex and requires specific tools to navigate. As AI continues to evolve, the use of creative content without consent or compensation raises ethical and legal dilemmas that remain unresolved.



Brief news summary

The use of the OpenSubtitles dataset in training generative AI models has become a point of contention, especially among Hollywood writers, due to potential unauthorized use of creative works. This dataset, employed by companies like Apple, Meta, and Nvidia, includes dialogue from over 53,000 films and 85,000 TV episodes, offering rich conversational data to enhance AI models. However, its public accessibility raises significant ethical and legal questions regarding copyright and "fair use." While it's claimed for non-commercial use, legal proceedings are questioning if this infringes on copyrights, sparking debates over attribution and ethics. Companies such as Anthropic, Meta, and Apple have integrated these subtitles into larger datasets, such as The Pile, aiding AI advancements but also presenting potential copyright challenges. These developments ignite crucial discussions about artist consent, technological impacts, and unresolved issues involving compensation and control over creative works.

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